Hyperion
Getting started
Getting Started
Speaker Verification Quickstart
Optional Dependencies, External Assets, and TPM
Concepts
Repository Architecture
Hyperion Data Model
Glossary
How-to guides
Train an X-Vector Directly from Waveforms
Extract, Score, and Evaluate X-Vectors
Prepare Dataset Metadata and VAD
Submitting recipe jobs
Run Resumable, Mixed-Precision, and Distributed Training
Train a Pretrained Wav2Vec2 X-Vector
Use Configuration Files
Save and Load Models and Backends
Documentation and maintenance
Building the Documentation
Documentation Policy
Contributor Extension Guide
Model Extension Contracts
PyTorch Extension Workflows
Data-Preparation and CLI Extension Workflows
Contributor Validation and Documentation Requirements
Deprecation and Compatibility Policy
Release Notes
Tutorial Quality Inventory
Public Surface Inventory
API Contract Coverage
Package reference
PyTorch Stack
PyTorch API Overview
PyTorch API Contracts
PyTorch Extension Points
PyTorch Layers and Architecture Catalog
PyTorch Training Support
PyTorch Integrations and Robustness
Experimental Components
NumPy Backend API
NumPy Backend Extension Points
Metrics and Evaluation API
Input and Output API
Utility Layer
Foundation API Contracts
Statistical, Evaluation, and Preparation API Contracts
Working With Info Tables
Working With HyperDataset
Working With Trial Tables
Data Preparation API
Text Normalization API
Command-Line Interface
Hyperion
Index
Index
_
|
A
|
C
|
D
|
E
|
F
|
G
|
H
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
U
|
V
_
__init__() (hyperion.torch.HyperTorchModel method)
__init_subclass__() (hyperion.torch.HyperTorchModel class method)
_bootstrap_registry() (hyperion.torch.HyperTorchModel static method)
_find_module_for_class_name() (hyperion.torch.HyperTorchModel static method)
_fix_hf_wav2xvector() (hyperion.torch.HyperTorchModel static method)
_fix_model_compatibility() (hyperion.torch.HyperTorchModel static method)
_fix_resnet_qvector_cfg() (hyperion.torch.HyperTorchModel static method)
_fix_xvector_cfg() (hyperion.torch.HyperTorchModel static method)
_get_from_hf() (hyperion.torch.HyperTorchModel static method)
_is_hf_path() (hyperion.torch.HyperTorchModel static method)
_load_cfg_state_dict() (hyperion.torch.HyperTorchModel static method)
_remove_module_prefix() (hyperion.torch.HyperTorchModel static method)
_train() (hyperion.torch.HyperTorchModel method)
_try_to_get_from_hf() (hyperion.torch.HyperTorchModel static method)
A
ark/scp
auto_load() (hyperion.torch.HyperTorchModel static method)
C
change_dropouts() (hyperion.torch.HyperTorchModel method)
clone() (hyperion.torch.HyperTorchModel method)
cohort
compute_eer() (in module hyperion.np.metrics)
compute_min_dcf() (in module hyperion.np.metrics)
copy() (hyperion.torch.HyperTorchModel method)
D
device (hyperion.torch.HyperTorchModel property)
E
EER
embedding
enrollment
F
freeze() (hyperion.torch.HyperTorchModel method)
G
get_config() (hyperion.torch.HyperTorchModel method)
get_loss() (hyperion.torch.HyperTorchModel method)
get_reg_loss() (hyperion.torch.HyperTorchModel method)
H
has_batchnorms() (hyperion.torch.HyperTorchModel method)
has_param_groups() (hyperion.torch.HyperTorchModel method)
HyperTorchModel (class in hyperion.torch)
L
load() (hyperion.torch.HyperTorchModel class method)
M
model
N
non-target trial
non_trainable_named_parameters() (hyperion.torch.HyperTorchModel method)
non_trainable_parameters() (hyperion.torch.HyperTorchModel method)
P
parameter_summary() (hyperion.torch.HyperTorchModel method)
print_parameter_list() (hyperion.torch.HyperTorchModel method)
R
recording
registry (hyperion.torch.HyperTorchModel attribute)
S
save() (hyperion.torch.HyperTorchModel method)
score
segment
set_train_mode() (hyperion.torch.HyperTorchModel method)
T
target trial
train() (hyperion.torch.HyperTorchModel method)
train_mode (hyperion.torch.HyperTorchModel property)
trainable_named_parameters() (hyperion.torch.HyperTorchModel method)
trainable_param_groups() (hyperion.torch.HyperTorchModel method)
trainable_parameters() (hyperion.torch.HyperTorchModel method)
trial
trial index
trial key
U
unfreeze() (hyperion.torch.HyperTorchModel method)
V
VAD
valid_train_modes() (hyperion.torch.HyperTorchModel static method)